AI Will Enable Quicker Time to Value for New Apps
Huang explained, “Back in the old days, we used to bring data to the computer. And the reason for that is because there was so little data in those days.”
But today, he said, the volume of data being generated is gigantic. “The data is valuable. It has to be secure. It's regulated. Governance has to be incredible. And so, it's tough to move data around.”
While a big part of the partnership is about bringing AI to Snowflake, Huang said, “the big revolution is about the combination of data plus AI algorithms plus compute engine. Our collaboration brings those three things together — incredibly valuable data, creative AI and a great compute engine.”
The value behind the partnership is what it will allow organizations to do with their proprietary data in a short amount of time. “For the very first time, you can develop a large language model, you stick it in front of your data and you talk to it. You talk to your data like you talk to a person,” Huang said. “The combination of a large language model plus knowledge base equals an AI application as simple as that.”
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Huang offered the customer contact center as a possible use case where AI can accelerate the time to value for all of the data being generated. “Can you imagine if you have hundreds of your customer support agents sitting in front of you, and you just ask them a bunch of questions? That's the future.”
He called this kind of interaction a miracle. “You're going to ask, what are the most frequent things that are happening to our customers that we could improve on? What are the things that they seem to find really delightful from our products? You're going to turn customer service data into a customer service application. That's an incredible opportunity.”